John Shon

4.5k citations
24 papers · 1.6k · 1 hit paper · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Biomedical Text Mining and Ontologies 3
    • Gene expression and cancer classification 2
    • Genome Rearrangement Algorithms 2
    • Genomics and Rare Diseases 2

John Shon

23 papers receiving 1.5k citations

John Shon's Hit Papers

What makes Web sites credible? 2001 · 550 citations
5500+8+16Years since publication100200300400500

Peers

John Shon
Comparison fields: 5 of 150
  • Information Systems and Management 176
  • Communication 157
  • Health Informatics 19
  • Oncology 289
  • Ophthalmology 88
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John Shon relative to Marie Griffiths United States Marie Griffiths's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by John Shon

Since Specialization
Citations

This map shows the geographic impact of John Shon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Shon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shon more than expected).

Fields of papers citing papers by John Shon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Shon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Shon. The network helps show where John Shon may publish in the future.

Co-authors

The 25 scholars most cited alongside John Shon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Shon Line = papers co-authored together John Shon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What makes Web sites credible?
Hit paper breakdown →
2001550
2 1990354
3 2018280
4 1998112
5 200253
6
The low availability of metadata elements for evaluating the quality of medical information on the World Wide Web.
199947
7 200041
8
Comparative genomics approaches to study organism similarities and differences
200236
9
Employee Satisfaction and Corporate Performance: Mining Employee Reviews on Glassdoor.com
201630
10 202130
11
Scientific workflows as productivity tools for drug discovery.
200815
12 200010
13 20219
14 20207
15 20216
16 20215
17 20055
18 20253
19 20113
20 20002

About John Shon

John Shon is a scholar working on Molecular Biology, Genetics, Sociology and Political Science, Information Systems and Infectious Diseases, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (3 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Health Literacy and Information Accessibility (2 papers), Genome Rearrangement Algorithms (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Information Systems and Management (176 citations), Communication (157 citations), Health Informatics (19 citations), Oncology (289 citations) and Ophthalmology (88 citations). John Shon has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include James M. Pipas, David M. Livingston, John W. Ludlow, James A. DeCaprio, Chris Varma, B. J. Fogg, Jonathan Marshall, Bruce Rutherford, David Mooney and Mark A. Musen. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, The Journal of Infectious Diseases and Frontiers in Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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